{
    "config": {
        "name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.4.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "text-classification",
            "library": "transformers",
            "model_type": "roberta",
            "model": "FacebookAI/roberta-base",
            "processor": "FacebookAI/roberta-base",
            "device": "cpu",
            "device_ids": null,
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "model_kwargs": {},
            "processor_kwargs": {},
            "no_weights": true,
            "device_map": null,
            "torch_dtype": null,
            "eval_mode": true,
            "to_bettertransformer": false,
            "low_cpu_mem_usage": null,
            "attn_implementation": null,
            "cache_implementation": null,
            "autocast_enabled": false,
            "autocast_dtype": null,
            "torch_compile": false,
            "torch_compile_target": "forward",
            "torch_compile_config": {},
            "quantization_scheme": null,
            "quantization_config": {},
            "deepspeed_inference": false,
            "deepspeed_inference_config": {},
            "peft_type": null,
            "peft_config": {}
        },
        "scenario": {
            "name": "inference",
            "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
            "iterations": 1,
            "duration": 1,
            "warmup_runs": 1,
            "input_shapes": {
                "batch_size": 1,
                "num_choices": 2,
                "sequence_length": 2
            },
            "new_tokens": null,
            "memory": true,
            "latency": true,
            "energy": true,
            "forward_kwargs": {},
            "generate_kwargs": {
                "max_new_tokens": 2,
                "min_new_tokens": 2
            },
            "call_kwargs": {
                "num_inference_steps": 2
            }
        },
        "launcher": {
            "name": "process",
            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
            "device_isolation": false,
            "device_isolation_action": "error",
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16757.342208,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.3.1",
            "optimum_benchmark_commit": "6924c8d60aa62ba0684c7b2cc2780f5170083764",
            "transformers_version": "4.43.2",
            "transformers_commit": null,
            "accelerate_version": "0.33.0",
            "accelerate_commit": null,
            "diffusers_version": "0.29.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.7",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 947.6096,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.339366331999997,
                "mean": 4.339366331999997,
                "stdev": 0.0,
                "p50": 4.339366331999997,
                "p90": 4.339366331999997,
                "p95": 4.339366331999997,
                "p99": 4.339366331999997,
                "values": [
                    4.339366331999997
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.850109153323703e-05,
                "ram": 2.027084799848353e-06,
                "gpu": 0,
                "total": 5.052817633308539e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 955.080704,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 30,
                "total": 1.0222870159998365,
                "mean": 0.03407623386666122,
                "stdev": 0.0017993978011242137,
                "p50": 0.03448989499997879,
                "p90": 0.03552366179996511,
                "p95": 0.035873358600011326,
                "p99": 0.037169233920008656,
                "values": [
                    0.03482218900001044,
                    0.03456281600000466,
                    0.03385626999994429,
                    0.03294634500002758,
                    0.034463259999995444,
                    0.03451740200000586,
                    0.03465024999997013,
                    0.036014168999997764,
                    0.033935737999968296,
                    0.03396416099997168,
                    0.032528777999971226,
                    0.035503928999958134,
                    0.03509929500000908,
                    0.0344531019999863,
                    0.03479138199998033,
                    0.03570125700002791,
                    0.03413502899996956,
                    0.0376410210000131,
                    0.03420956899998373,
                    0.03416231900001776,
                    0.0350748810000141,
                    0.03539985500003695,
                    0.034431482000002234,
                    0.03451652999996213,
                    0.034709900999985166,
                    0.03510942400004069,
                    0.03247769000000744,
                    0.029754529999991064,
                    0.029581108000002132,
                    0.029273333999981332
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 29.3459659865276
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.170630353728151e-06,
                "ram": 4.8923211347120255e-08,
                "gpu": 0.0,
                "total": 1.2195535650752713e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 819972.183787007
            }
        }
    }
}